---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-student_six_classes
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# swin-tiny-patch4-window7-224-finetuned-student_six_classes

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0039
- Accuracy: 1.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6323        | 0.9362 | 11   | 0.3212          | 0.8428   |
| 0.2352        | 1.9574 | 23   | 0.0927          | 0.9843   |
| 0.0961        | 2.9787 | 35   | 0.0497          | 0.9921   |
| 0.0685        | 4.0    | 47   | 0.0207          | 0.9969   |
| 0.0386        | 4.9362 | 58   | 0.0216          | 0.9969   |
| 0.0254        | 5.9574 | 70   | 0.0164          | 0.9969   |
| 0.0326        | 6.9787 | 82   | 0.0080          | 0.9969   |
| 0.0207        | 8.0    | 94   | 0.0057          | 0.9984   |
| 0.0233        | 8.9362 | 105  | 0.0042          | 1.0      |
| 0.0154        | 9.3617 | 110  | 0.0039          | 1.0      |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1